SYSTEM ANALYZER

Rate My PC: AMD Ryzen AI Max 385 + NVIDIA GeForce RTX 4080 Mobile

Get a comprehensive performance analysis of your gaming rig with detailed benchmarks, bottleneck detection, and upgrade recommendations

94 / 100
ULTIMATE READY

Apex Performer

Top 6% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
93%
VS
GPU
95%
PROCESSOR

AMD Ryzen AI Max 385

44,309 Benchmark Score
Top 7% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 4080 Mobile

38,135 Benchmark Score
Top 5% Market Ranking
View Full Specs →

Market Position

How your build compares to others
Budget
0-30
Mid-Range
30-60
High-End
60-85
Enthusiast
85-100
Your Build

Game Performance Benchmarks

Real-world 4K FPS in popular titles
View All Games →

Performance Insights

Tips to maximize your system

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

Compatible Games See what you can play Compare CPUs Find upgrades Compare GPUs Find upgrades

Performance Tiers Explained

90-100

Ultimate

4K Ultra gaming, VR ready, ray tracing enabled, professional workloads

4K 60+ FPS VR Ready
70-89

High-End

1440p Ultra or 4K High settings, excellent for modern AAA titles

1440p Ultra 4K High
50-69

Mid-Range

1080p Ultra or 1440p Medium, great value for most gamers

1080p Ultra 1440p Med
30-49

Entry Level

1080p Medium settings, suitable for eSports and older titles

1080p Med eSports
0-29

Legacy

Basic gaming, older titles, consider upgrading for modern games

720p-1080p Low Older Games

The AMD Ryzen AI Max 385 and NVIDIA GeForce RTX 4080 Mobile pairing represents a high-end laptop configuration, ranking in the 85th percentile overall among all combined CPU and GPU setups. This is a desktop-class mobile workstation disguised as a laptop, offering 8 Zen 5 cores and a dedicated 12 GB Ada Lovelace GPU. Benchmark data indicates this combination is engineered for serious multi-threaded productivity and high-refresh 1440p gaming, though the CPU’s performance profile is notably more competitive than the GPU’s, which sits slightly below the top-tier mobile graphics hierarchy.

CPU Analysis

The AMD Ryzen AI Max 385 is built on the Zen 5 architecture, codenamed Strix Halo, and manufactured on TSMC’s 4 nm process node. It features 8 cores and 16 threads, a base clock of 3.60 GHz, and a boost clock of 5.00 GHz. The cache hierarchy is substantial: 80 KB of L1 per core, 1 MB of L2 per core, and a shared 32 MB L3 pool. This is a mobile processor with a 55 W TDP, but its performance envelope is wide, as the benchmark results show.

In multi-threaded workloads, the Ryzen AI Max 385 posts a Cinebench R23 multi-core score of 15,674 points. This places it in the 88th percentile of all CPUs, putting it squarely in the same performance tier as desktop-class parts. The nearest rival data confirms this positioning: it trails the Intel Core i9-13950HX by a negligible 0.1% in average benchmark score (44,309 vs. 44,342), while leading the Intel Core i5-13600 by 0.2% and the AMD Ryzen 5 7500X3D by 0.6%. The deltaPct values are incredibly tight, indicating that the Ryzen AI Max 385 is a top-tier mobile processor that trades blows with high-end desktop chips from the previous generation.

Single-thread performance is equally impressive. The Cinebench R23 single-core score of 2,212 points and a Passmark single-thread score of 4,060 indicate strong per-core efficiency, a hallmark of the Zen 5 architecture. This translates to snappy responsiveness in daily tasks and strong performance in lightly-threaded applications like legacy software or certain game engines. The Passmark multi-thread score of 33,705 further reinforces the multi-core capability, while the floating-point math score of 71,105 and integer math score of 107,046 show a balanced execution unit design that handles both scientific and general-purpose workloads effectively.

Memory bandwidth is a key strength here. The CPU supports LPDDR5X memory over a quad-channel bus, yielding a theoretical bandwidth of 256.0 GB/s. This is a significant advantage for integrated graphics and data-heavy tasks like compression and encryption, where the Passmark data compression score of 406,505 and encryption score of 19,926 reflect high throughput. The CPU also supports ECC memory and has 16 PCIe Gen 4 lanes, making it suitable for professional workstations that require data integrity and fast peripheral connectivity. The Ryzen AI Max 385 is not just a gaming chip; its architecture and memory subsystem are designed for compute-heavy professional environments.

The average benchmark score of 44,309 for the CPU is a composite that underscores its competitive stance. Being within 0.6% of the Ryzen 5 7500X3D—a known gaming powerhouse—suggests that the AI Max 385 will not bottleneck high-end graphics in most scenarios. However, the 88th percentile ranking means there are faster CPUs available, but they are few and far between, typically reserved for extreme HX-series laptops or desktop replacements.

Benchmark Performance

The combined system percentile is 85, which reflects a high-tier pairing. The CPU’s 88th percentile is the stronger component, while the GPU sits in the 81st percentile of all GPUs. This slight imbalance means the processor is relatively more powerful than the graphics card, which has implications for workload distribution that will be explored later.

The CPU’s benchmark suite shows a processor that excels in sustained multi-core loads. Cinebench R20 multi-core score of 6,583 and R15 multi-core score of 1,579 are consistent with the R23 result, showing scalability across rendering workloads. The Passmark physics score of 1,889 and prime number finding score of 165 indicate solid computational throughput for simulation and cryptography tasks. In contrast, the random string sorting score of 43,725 suggests that the memory controller and cache are effective at handling non-linear data access patterns.

The GPU benchmarks reveal a different story. The GeForce RTX 4080 Mobile scores 24,926 in Passmark G3D, which places it in the 81st percentile. Its nearest rival data is unusual: it is 0.4% slower than the NVIDIA GeForce MX570 and 0.6% slower than the RTX 5080 Mobile, while being 1.3% faster than the desktop RTX 4070. This tight clustering suggests that the RTX 4080 Mobile is performing at the upper bound of what is expected from its class, but it is not a leader. The Geekbench OpenCL score of 159,575 and Vulkan score of 145,807 show strong compute API performance, which is crucial for professional rendering and AI inference.

The combined picture is one of a system where the CPU is a top-12% performer and the GPU is a top-19% performer. This means that in CPU-bound tasks like video encoding, code compilation, or 3D scene preparation, the system will feel exceptionally fast. In GPU-bound tasks like high-resolution gaming or final frame rendering, the system will still perform well, but the graphics card will be the limiting factor relative to the absolute best mobile GPUs available. The data suggests a balanced system for high-end gaming at 1440p and a workstation-class CPU for productivity.

GPU Analysis

The NVIDIA GeForce RTX 4080 Mobile is based on the Ada Lovelace architecture, using the AD104 chip manufactured on TSMC’s 5 nm process. It contains 35,800 million transistors on a 294 mm² die. The GPU has 7,424 shading units, 232 texture mapping units, and 80 raster operation pipelines. It is equipped with 58 RT cores and 232 tensor cores, providing dedicated hardware for ray tracing and AI-driven features like DLSS.

Memory configuration is robust: 12 GB of GDDR6 on a 192-bit bus, delivering a bandwidth of 432.0 GB/s. The memory clock is 2250 MHz, translating to 18 Gbps effective. This capacity and bandwidth are sufficient for 1440p gaming with high-resolution textures and for professional workloads like video editing or 3D modeling where large assets are common. The pixel rate is 133.2 GPixel/s and the texture rate is 386.3 GTexel/s, indicating strong fill-rate capabilities for high-resolution rendering.

Compute performance is specified at 24.72 TFLOPS for both FP32 and FP16 (1:1 ratio). This is a substantial number for a mobile GPU, enabling fast physics simulations and machine learning inference. The base clock is 1290 MHz with a boost clock of 1665 MHz. The TDP is 110 W, which is high for a laptop component but necessary to achieve these performance levels. The GPU supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, ensuring compatibility with the latest gaming and professional APIs.

Benchmark results show the GPU’s real-world capability. The Passmark G3D score of 24,926 places it in the 81st percentile. As noted, it is nearly identical in performance to the MX570 and RTX 5080 Mobile, which is a peculiar clustering that suggests the RTX 4080 Mobile is a well-optimized part that hits its expected performance targets. The Passmark GPU compute score of 11,191 is lower than expected relative to the G3D score, indicating that raw compute throughput in certain workloads (like OpenCL) may not scale linearly with the FP32 TFLOPS figure. However, the Geekbench OpenCL score of 159,575 is strong, suggesting that properly optimized applications can extract high performance.

For rendering, the 12 GB VRAM is the key differentiator. It allows for larger scenes and more complex textures without spilling into system memory, which would cause stutters. The RT cores and tensor cores provide hardware acceleration for ray-traced effects and DLSS upscaling, respectively. This makes the RTX 4080 Mobile a capable GPU for 1440p gaming with ray tracing enabled and for creative applications that leverage CUDA acceleration, such as Adobe Premiere Pro or Blender.

Who Should Build It

This laptop configuration is for users who need a single machine for both heavy productivity and high-end gaming. The CPU’s 88th percentile ranking makes it ideal for professionals who work with multi-threaded applications. Software developers compiling large codebases will benefit from the 16 threads and high Passmark multi-thread score of 33,705. Data scientists and researchers running simulations will find the floating-point math score of 71,105 and the 256.0 GB/s memory bandwidth conducive to handling large datasets efficiently.

Content creators are a primary target. Video editors rendering 4K timelines will see faster export times due to the CPU’s strong Cinebench scores and the GPU’s 12 GB VRAM for effect caching. 3D artists using Blender or Maya will appreciate the RTX 4080 Mobile’s RT cores for viewport rendering and the CPU’s multi-core prowess for physics simulations and final frame rendering. The ECC memory support is a boon for tasks where data integrity is paramount, such as financial modeling or scientific computing.

High-refresh gamers at 1440p will find this configuration compelling. The CPU’s single-thread score of 2,212 in Cinebench R23 ensures that game logic and physics won’t be a bottleneck, while the GPU’s 24.72 TFLOPS provides the raw power needed to push high frame rates. The 81st percentile GPU ranking means it will handle most games at ultra settings, though users seeking the absolute maximum FPS might prefer a laptop with a higher-tier GPU.

Students in engineering or computer science programs and small business workstations requiring a powerful, portable solution will also fit this profile. The CPU’s 88th percentile performance ensures longevity for demanding software like CAD tools or virtual machines. The combination of a top-tier CPU and a high-end GPU means this laptop can serve as a desktop replacement without significant compromises.

FAQ

Q: How does the AMD Ryzen AI Max 385 compare to the Intel Core i9-13950HX?

A: The Ryzen AI Max 385 has an average benchmark score of 44,309, which is 0.1% lower than the Core i9-13950HX’s score of 44,342. This difference is negligible, indicating near-identical overall performance.

Q: What is the GPU’s performance percentile?

A: The NVIDIA GeForce RTX 4080 Mobile is in the 81st percentile of all GPUs, with an average benchmark score of 38,135. This places it above the desktop RTX 4070 by 1.3% but slightly below the RTX 5080 Mobile.

Q: How much memory bandwidth does the CPU have?

A: The CPU supports quad-channel LPDDR5X memory with a theoretical bandwidth of 256.0 GB/s. This is a key advantage for integrated graphics and memory-intensive workloads.

Q: Does the GPU have dedicated ray tracing hardware?

A: Yes, the RTX 4080 Mobile has 58 RT cores and 232 tensor cores, providing dedicated hardware for real-time ray tracing and AI-driven features like DLSS.

Q: What is the CPU’s multi-threaded score in Cinebench R23?

A: The Ryzen AI Max 385 scores 15,674 points in Cinebench R23 multi-core. This places it in the 88th percentile of all CPUs.

Q: Is the GPU’s memory size sufficient for 1440p gaming?

A: The GPU has 12 GB of GDDR6 memory on a 192-bit bus with 432.0 GB/s bandwidth. This is generally sufficient for 1440p gaming with high-resolution textures.

Q: How does the CPU perform in single-threaded tasks?

A: The CPU scores 2,212 points in Cinebench R23 single-core and 4,060 in Passmark single-thread, indicating strong per-core performance for everyday tasks and older game engines.

Usage Scenarios

For high-refresh gaming at 1440p, the RTX 4080 Mobile’s 24.72 TFLOPS and 12 GB VRAM provide the necessary horsepower. The CPU’s 88th percentile ranking ensures it can feed the GPU with frames efficiently, preventing CPU-bound bottlenecks in demanding titles. The quad-channel memory bandwidth of 256.0 GB/s also helps with asset streaming in open-world games.

Streaming is a dual-load scenario. The CPU’s 16 threads and Passmark multi-thread score of 33,705 can handle encoding via x264, while the GPU’s NVENC (part of the Ada Lovelace architecture) can offload encoding to the tensor cores. This allows for high-quality streams without sacrificing in-game FPS, leveraging the GPU’s 81st percentile performance.

Video editing in applications like Premiere Pro benefits from both components. The CPU’s Cinebench R23 multi-core score of 15,674 accelerates timeline processing and export, while the GPU’s 12 GB VRAM and 24.72 TFLOPS accelerate effects, transitions, and color grading. The 432.0 GB/s GPU bandwidth ensures fast read/write of frame buffers.

3D rendering in Blender or Cinema 4D leans heavily on the GPU. The RTX 4080 Mobile’s 58 RT cores will accelerate ray-traced renders, and the 12 GB VRAM allows for complex scenes. The CPU’s floating-point math score of 71,105 handles physics simulations and particle systems that are often CPU-bound.

Software development is predominantly a CPU-bound task. The 8 cores and 16 threads compile code quickly, as evidenced by the Passmark multi-thread score. The high single-thread score of 4,060 ensures snappy IDE performance, and the ECC memory support provides stability for long-running builds.

Student and office work is a lower-intensity scenario, but the system excels nonetheless. The CPU’s 88th percentile ensures seamless multitasking across dozens of browser tabs, office suites, and communication apps. The GPU’s 929 Passmark G2D score indicates smooth 2D rendering for desktop compositing, while the integrated Radeon 8050S offers a power-efficient alternative for basic tasks.

Gaming Performance

Important note: There are no measured FPS rows for this exact CPU+GPU combination in the benchmark database. All frame rate figures below are estimates derived from the raw benchmark scores and should be treated as expectations, not verified results.

The GeForce RTX 4080 Mobile’s Passmark G3D score of 24,926 suggests it is capable of running most games at 1440p with high to ultra settings. The GPU’s 81st percentile ranking indicates it is faster than the desktop RTX 4070, which is a known 1440p performer. At 1080p, the CPU’s single-thread score of 2,212 in Cinebench R23 will likely be the limiting factor in esports titles, but frame rates should still be extremely high, often exceeding 144 FPS in competitive shooters.

At 1440p, the GPU’s 12 GB VRAM and 432.0 GB/s bandwidth will allow for ultra-texture packs without stuttering. The 24.72 TFLOPS of FP32 compute is sufficient for modern AAA titles at high settings, with the expectation of 60-100 FPS depending on the game’s optimization. The presence of 58 RT cores means that ray tracing at 1440p is feasible, though enabling it will reduce frame rates; DLSS via the 232 tensor cores can recover some of that performance.

For 4K gaming, the 12 GB VRAM may become a limitation in the most demanding titles, but the GPU should still manage playable frame rates at medium to high settings. The CPU’s 88th percentile ranking ensures it will not bottleneck the GPU at 4K, where the graphics card is almost always the limiting factor. Users seeking the absolute highest FPS in competitive titles like Valorant or CS2 should prioritize the CPU’s single-thread performance, which is excellent, while those playing story-driven games can rely on the GPU’s strong rasterization and RT capabilities.

Build Overview

This is a laptop-class build (buildClass: laptop) pairing the AMD Ryzen AI Max 385 (8 cores, Zen 5) with the NVIDIA GeForce RTX 4080 Mobile (12 GB, Ada Lovelace). The system ranks in the 85th combined percentile, indicating it outperforms 85% of all tested CPU+GPU combinations. The CPU is the stronger component at the 88th percentile, while the GPU is at the 81st percentile.

The Ryzen AI Max 385 is a mobile processor with a 55 W TDP, but its performance rivals desktop chips like the Intel Core i5-13600 and Ryzen 5 7500X3D, as shown by the deltaPct values of 0.2% and -0.6%, respectively. The RTX 4080 Mobile is a high-end laptop GPU with a 110 W TDP, and while it is in the top 20% of all GPUs, it is not the absolute fastest, sitting just 0.6% behind the RTX 5080 Mobile in average score.

The pairing is well-balanced for a high-end laptop. The CPU’s superior percentile means it will handle any CPU-bound task with ease, while the GPU provides a strong foundation for gaming and creative work. This is not a budget-oriented build; it is a performance-first configuration for users who demand high frame rates and fast compute times in a portable form factor.

Balance and Bottleneck

The data indicates that the CPU is the more powerful component relative to its peers. With a percentile rank of 88 versus the GPU’s 81, the CPU is capable of driving the GPU to its limits in most gaming scenarios. In CPU-bound workloads like physics simulations or code compilation, the CPU will be the star, while the GPU will be underutilized.

The GPU becomes the bottleneck in graphics-intensive tasks such as high-resolution rendering or ray-traced gaming. The 12 GB VRAM and 432.0 GB/s bandwidth are ample, but the GPU’s raw compute (24.72 TFLOPS) is lower than the CPU’s relative standing. This means that in games at 1440p with ultra settings, the GPU will likely be at 100% utilization while the CPU idles at a lower percentage, confirming the GPU as the limiting factor.

The FPS scaling between 1080p and 1440p will show this imbalance. At 1080p, the CPU’s strong single-thread score will push frame rates higher, but the GPU may not be fully taxed. At 1440p, the GPU’s workload increases, and the system should exhibit more balanced utilization. For users who prioritize maximum FPS in esports titles, the CPU’s headroom is a benefit; for users who prioritize visual fidelity in AAA titles, the GPU is the component to watch, and the system’s performance will align with the GPU’s 81st percentile ranking rather than the CPU’s higher standing.